Senior Associate Data Science

Senior AssociateData Scientist Marketing Analytics

Data is at the center of everything we do. As a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database cutting edge technology in 1988! Fastforward a few years and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of datadriven decisionmaking.

As a Data Scientist at Capital One youll be part of a team thats leading the next wave of disruption at a whole new scale using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people time and agony in their financial lives.

Team Description

The Business Cards Marketing Data Science is a team of talented data scientists leveraging cuttingedge machine learning models and statistical methods to deeply understand customer behavior so we can optimize our marketing campaigns to win new customers and drive sticky relationships with our existing customers.

In the recent past we have experimented with multiple modeling approaches including timeseries models regression & classification models ensemble models LLMs causal learners to name a few. Our objective is to drive model usage across every aspect of marketing and increase personalization.

We are embedded within the teams owning the campaigns and hence work very closely with business analysts and marketers to ensure that the models drive business value and are used in decision making and in marketing campaigns.

Role Description

In this role you will:

• build machine learning models endtoend from ideation through training validation and deployment

• influence our business leaders to make better datadriven decisions by conducting rigorous statistical analyses of various business strategies

• partner with a crossfunctional team of data scientists data engineers software engineers business analysts marketers and product managers to deliver a product customers love

• leverage a broad stack of technologies Python SQL Cloud services and more to build and monitor models and deliver transformational insights from data

The Ideal Candidate is:

• is technical. You have handson experience developing data science solutions using opensource packages. Youre comfortable with Python SQL command line AWS etc. and are passionate about developing these skill sets further. You are able to write well documented and efficient code that is productiongrade and that your team can leverage. You know how to work with messy data sources.

• is statisticallyminded. You understand statistical concepts like sampling bias uncertainty etc. and can reason using these principles. You know how to interpret the outputs of standard statistical models. You have experience with hypothesis testing regression models classification models and clustering.

• has strong written and verbal communication skills. Your documentation clearly articulates your thinking and you can communicate results well to your peers and other technical and business leaders.

• is a selfstarter and a creative problem solver. You take initiative iterate quickly and know how to move past challenges. You address business problems using actionable analyses and data science solutions.

Basic Qualifications:

• Currently has or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:

  • A Bachelors Degree in a quantitative field (Statistics Economics Operations Research Analytics Mathematics Computer Science or a related quantitative field) plus 2 years of experience performing data analytics

  • A Masters Degree in a quantitative field (Statistics Economics Operations Research Analytics Mathematics Computer Science or a related quantitative field) or an MBA with a quantitative concentration

Preferred Qualifications:

• Masters Degree or PhD in Statistics Economics Mathematics Financial Engineering Operations Research Engineering Physics or related disciplines.

• At least 2 years of experience with Python SQL and scripting

• At least 2 years of experience working with and analyzing large datasets

• At least 2 years of experience building analyzing and deploying machine learning models

• Exposure to a broad array of modeling methodologies including Gen AI

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum fulltime annual salaries for this role are listed below by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for parttime roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Candidates hired to work in other locations will be subject to the pay range associated with that location and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidates offer letter.

Capital One offers a comprehensive competitive and inclusive set of health financial and other benefits that support your total wellbeing. Learn more at theCapital One Careers website. Eligibility varies based on full or parttime status exempt or nonexempt status and management level.

If you have visited our website in search of information on employment opportunities or to apply for a position and you require an accommodation please contact Capital One Recruiting ator via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital Ones recruiting process please send an email to

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Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).